书籍“Regularization tools for training large feed-forward neural networks using Automatic Differentiat
书籍“Regularization tools for training large feed-forward neural networks using Automatic Differentiation”的源码文件
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书籍“Regularization tools for training large feed-forward neural networks using Automatic Differentiation”的源码文件
very good Gaussian Mixture Models and Probabilistic Decision-Based Neural Networks for Pattern Classification - A Compar...
ADIAL Basis Function (RBF) networks were introduced into the neural network literature by Broomhead and Lowe [1], whic...
Single-layer neural networks can be trained using various learning algorithms. The best-known algorithms are the Adaline...
This demo nstrates the use of the reversible jump MCMC simulated annealing for neural networks. This algorithm enables u...
《M-files for "Neural Networks"》神经网络的一些MATLAB源程序,M-files for demos, exercises, and implementations. 作者:Herve Abdi
BPMLL is a package for training multi-label BP neural networks. The package includes the MATLAB code of the algorithm BP...
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This demo nstrates the use of the reversible jump MCMC algorithm for neural networks. It uses a hierarchical full Bayesi...